基于人工神经网络的A357合金力学性能预测（英文）

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Bibliographic Details
Published in中国有色金属学报：英文版 no. 3; pp. 788 - 795
Main Author 杨夏炜 朱景川 农智升 何东 来忠红 刘颖 刘法伟
Format Journal Article
LanguageEnglish
Published 2013
Subjects
A357合金
人工神经网络
力学性能
热处理参数
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Bibliography:The workpieces of A357 alloy were routinely heat treated to the T6 state in order to gain an adequate mechanical property.The mechanical properties of these workpieces depend mainly on solid-solution temperature,solid-solution time,artificial aging temperature and artificial aging time.An artificial neural network（ANN） model with a back-propagation（BP） algorithm was used to predict mechanical properties of A357 alloy,and the effects of heat treatment processes on mechanical behavior of this alloy were studied.The results show that this BP model is able to predict the mechanical properties with a high accuracy.This model was used to reflect the influence of heat treatments on the mechanical properties of A357 alloy.Isograms of ultimate tensile strength and elongation were drawn in the same picture,which are very helpful to understand the relationship among aging parameters,ultimate tensile strength and elongation.
43-1239/TG
Xia-wei YANG1,2,Jing-chuan ZHU1,2,Zhi-sheng NONG1,2,Dong HE1,2,Zhong-hong LAI1,2,Ying LIU3,Fa-wei LIU4 1.National Key Laboratory for Precision Hot Processing of Metals,Harbin Institute of Technology,Harbin 150001,China;2.School of Materials Science and Engineering,Harbin Institute of Technology,Harbin 150001,China;3.Beijing Hangxing Machine Manufacturing Company,Beijing 100013,China;4.Physical Test Centre,Shenyang Aircraft C orporation,Shenyang 110034,China
A357 alloy; mechanical properties; artificial neural network; heat treatment parameters
ISSN:1003-6326